An edition of Uncertainty Reasoning for the Semantic Web II
(2013)
Uncertainty Reasoning for the Semantic Web II
International Workshops URSW 2008-2010 Held at ISWC and UniDL 2010 Held at FLoC, Revised Selected Papers
by Fernando Bobillo
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This book contains revised and significantly extended versions of selected papers from three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2008, 2009, and 2010 or presented at the first international Workshop on Uncertainty in Description Logics (UniDL), held at the Federated Logic Conference (FLoC) in 2010. The 17 papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches.
Publish Date
2013
Publisher
Springer Berlin Heidelberg,
Imprint: Springer
Language
English
Pages
331
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Previews available in: English
Subjects
Mathematical Logic and Formal Languages, Data Mining and Knowledge Discovery, Probability and Statistics in Computer Science, Information storage and retrieval systems, Information organization, User Interfaces and Human Computer Interaction, Information retrieval, Artificial Intelligence (incl. Robotics), Data mining, Artificial intelligence, Computer science, Uncertainty (information theory), World wide web, Congresses, Semantic Web| Edition | Availability |
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Uncertainty Reasoning for the Semantic Web II: International Workshops URSW 2008-2010 Held at ISWC and UniDL 2010 Held at Floc, Revised Selected Papers
Feb 20, 2013, Springer
paperback
3642359744 9783642359743
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2
Uncertainty Reasoning for the Semantic Web II: International Workshops URSW 2008-2010 Held at ISWC and UniDL 2010 Held at FLoC, Revised Selected Papers
2013, Springer Berlin Heidelberg, Imprint: Springer
electronic resource :
in English
3642359752 9783642359750
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Book Details
Table of Contents
<p>PR-OWL 2.0 – Bridging the Gap to OWL Semantics.- Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil
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Understanding a Probabilistic Description Logic via Connections to First-Order Logic of Probability.- Pronto: A Practical Probabilistic Description Logic Reasoner.- Instance-Based Non-standard Inferences in <i>EL </i>with Subjective Probabilities.- Finite Fuzzy Description Logics and Crisp Representations.- Reasoning in Fuzzy OWL 2 with DeLorean.- Dealing with Contradictory Evidence Using Fuzzy Trust in Semantic Web Data.- Storing and Querying Fuzzy Knowledge in the Semantic Web Using FiRE.- Transforming Fuzzy Description Logic <i>ALCFL </i>into Classical Description Logic <i>ALCH.- </i>A Fuzzy Logic-Based Approach to Uncertainty Treatment in the Rule Interchange Format: From Encoding to Extension.- PrOntoLearn: Unsupervised Lexico-Semantic Ontology Generation Using Probabilistic Methods.- Semantic Web Search and Inductive Reasoning.- Ontology Enhancement through Inductive Decision Trees.- Assertion Prediction with Ontologies through Evidence Combination.- Representing^
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Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations.- Efficient Trust-Based Approximate SPARQL Querying of the Web of Linked Data.</p>Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil
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Understanding a Probabilistic Description Logic via Connections to First-Order Logic of Probability.- Pronto: A Practical Probabilistic Description Logic Reasoner.- Instance-Based Non-standard Inferences in <i>EL </i>with Subjective Probabilities.- Finite Fuzzy Description Logics and Crisp Representations.- Reasoning in Fuzzy OWL 2 with DeLorean.- Dealing with Contradictory Evidence Using Fuzzy Trust in Semantic Web Data.- Storing and Querying Fuzzy Knowledge in the Semantic Web Using FiRE.- Transforming Fuzzy Description Logic <i>ALCFL </i>into Classical Description Logic <i>ALCH.- </i>A Fuzzy Logic-Based Approach to Uncertainty Treatment in the Rule Interchange Format: From Encoding to Extension.- PrOntoLearn: Unsupervised Lexico-Semantic Ontology Generation Using Probabilistic Methods.- Semantic Web Search and Inductive Reasoning.- Ontology Enhancement through Inductive Decision Trees.- Assertion Prediction with Ontologies through Evidence Combination.- Representing^
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Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations.- Efficient Trust-Based Approximate SPARQL Querying of the Web of Linked Data.
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